{"id":"W4401153693","doi":"10.21037/tp-24-211","title":"Screening for biomarkers of tuberous sclerosis complex–associated epilepsy: a bioinformatics analysis","year":2024,"lang":"en","type":"article","venue":"Translational Pediatrics","topic":"Tuberous Sclerosis Complex Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Tuberous sclerosis; Medicine; Epilepsy; Bioinformatics; Pathophysiology; Neuroscience; Computational biology; Pathology; Psychiatry; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009110022,0.000738132,0.00122252,0.004505145,0.0005195519,0.001176759,0.0004325098,0.0003703148,0.001614882],"category_scores_gemma":[0.001710606,0.0001755593,0.001586152,0.003968478,0.0001872239,0.0003451295,0.0006308709,0.0004345557,0.0009434848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005746498,"about_ca_system_score_gemma":0.00136559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001522248,"about_ca_topic_score_gemma":0.002430357,"domain_scores_codex":[0.9993917,0.0001172609,0.00006760815,0.0001792845,0.000166004,0.00007831367],"domain_scores_gemma":[0.999329,0.00027188,0.0001060481,0.00003366155,0.0002019905,0.00005745321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003727488,0.001491343,0.3111271,0.004435543,0.002657436,0.002603827,0.0003341466,0.04133188,0.1729802,0.003355368,0.03497022,0.4209855],"study_design_scores_gemma":[0.0004855638,0.002611024,0.4367658,0.0006736424,0.003342966,0.004125246,0.000956769,0.3858648,0.08004253,0.01688103,0.06799151,0.0002590461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6994646,0.01377429,0.1655001,0.003459734,0.0002265995,0.001328549,0.1009481,0.008135525,0.00716243],"genre_scores_gemma":[0.7028049,0.004726504,0.2024398,0.0008320276,0.0001110933,0.001263602,0.08571213,0.0002220267,0.001888019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004505145,"threshold_uncertainty_score":0.005402267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1220126186329395,"score_gpt":0.3413165416069039,"score_spread":0.2193039229739644,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}